anirbanroy987 Goto Github PK

100-days-of-nlp

66days__naturallanguageprocessing

I am sharing my Journey of 66DaysofData in Natural Language Processing.

agriculture-vision

[CVPR 2020 & 2021] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities together to benefit humanity!

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

applied-ai-ml-assignments

Assignments from Applied AI ML Course

course-nlp

A Code-First Introduction to NLP course

crop_yield_prediction

Crop Yield Prediction with Deep Learning

customxgboost

XGBoost implementation from scratch with Numpy using Adam and RSMProp optimizers.

data-engineering-projects

data-science-

It consists of Data Science Prediction Techniques and Exploratory Data Analysis for different Datasets

data-science-blogs

A curated list of data science blogs

data-science-books-

A repository of books in data science

data-science-hackathon-and-competition

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

data-visualizations-medium

Understanding Data and Machine Learning Models with Visualizations

data_mining_lab

Python Data Mining

data_portfolio

Data Science Blog /Portfolio

databricks-intro

An introduction to analyzing data using Spark in Azure Databricks

datasciencetools

Useful Data Science and Machine Learning Tools,Libraries and Packages

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dice

Generate Diverse Counterfactual Explanations for any machine learning model.

eva7-tsai-learning-modules-phase-1

Computer Vision learning architectures

fastai-a-code-first-introduction-to-natural-language-processing-twiml-study-group

For the TWiML NLP Study Group. We review the fast.ai course "A Code-First Introduction to Natural Language Processing", created by Rachel Thomas, of The Data Institute | University of San Francisco. This repository contains the original Jupyter notebooks, plus annotated versions (with suffix `_jcat.ipynb`), as well as other materials I am developing for the Study Group, such as slide decks for the weekly Zoom meetups.

iv-and-woe-python

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

markdown_readme

Markdown - you can mark up titles, lists, tables, etc., in a much cleaner, readable and accurate way if you do it with HTML.

multicore-evaluation

iPython notebook to accompany blog post written on multi-core processing

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nmt

TensorFlow Neural Machine Translation Tutorial

normalization_vs_standardization

predict-future-sales

Kaggle Score : 0.91946 Final project for "How to win a data science competition" Coursera course